Lu Qi 
Ph.D. Candidate
Rm 1026, Ho Sin-Hang Engineering Building
Dept. of Computer Science and Engineering
The Chinese University of Hong Kong
Shatin, N.T., Hong Kong
Email: qqlu1992 [at] gmail.com
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Biography[CV]
I am a Ph.D. candidate in Computer Science and Engineering Department, The Chinese University of Hong Kong (CUHK) since 2017. My supervisor is Prof. Jiaya Jia. Before that, I received the M.E. degree in Pattern Recognition and Intelligent System from Institute of Automation, The Chinese Academy of Sciences in 2017 and the B.E. degree in Automation and the B.S. dual degree in Financial Mathematics from Shandong University in 2014.
My research interest includes computer vision and deep learning.
- LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond
Wenbo Li, Kun Zhou, Lu Qi, Nianjuan Jiang, Jiangbo Lu, Jiaya Jia.
Thirty-fourth Conference on Neural Information Processing Systems, (NeurIPS), 2020
- RGB-D Co-attention Network for Semantic Segmentation
Hao Zhou*, Lu Qi*, Zhaoliang Wan, Hai Huang, Xu Yang.
15th Asian Conference on Computer Vision, (ACCV), 2020
- MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution
Wenbo Li, Xin Tao, Taian Guo, Lu Qi, Jiangbo Lu, Jiaya Jia.
16th European Conference on Computer Vision, (ECCV), 2020
- PointINS: Point-based Instance Segmentation
Lu Qi, Xiangyu Zhang, Yingcong Chen, Yukang Chen, Jian Sun, Jiaya Jia.
Technical Report
- Amodal Instance Segmentation through KINS Dataset
Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, Jiaya Jia.
IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2019
- Sequential Context Encoding for Duplicate Removal
Lu Qi, Shu Liu, Jianping Shi, Jiaya Jia.
Thirty-second Conference on Neural Information Processing Systems, (NeurIPS), 2018.
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Path Aggregation Network for Instance Segmentation
Shu Liu, Lu Qi, Haifang Qin, Jianping Shi, Jiaya Jia.
IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2018 (Spotlight Presentation)
Ranked No. 1 of COCO 2017 Detection Challenge in Instance Segmentation Track
Ranked No. 2 of COCO 2017 Detection Challenge in Object Detection Track
Ranked No. 1 of 2018 Scene Understanding Challenge for Autonomous Navigation in Unstructured Environments Instance Segmentation Track
Competitions
Honors & Awards
Hong Kong Ph.D. Fellowship (231 candidates in Hong Kong) | 2017-2021 |
The President Scholarship of Shandong University (highest honor) | 2013 |
Baogang Steel Scholarship (top 0.5%) | 2013 |
Excellent Student in Shandong Province | 2013 |
National Scholarship (thrice) | 2011-2013 |
Research Experiences
Teaching
CSCI1120 Introduction to C++ | Fall | 2019-2020 |
CSCI2100B Data Structure | Spring | 2018-2019 |
ENGG1100 Introduction to Engineering Design | Fall | 2018-2019 |
CSCI3120 Compile Construction | Spring | 2017-2018 |